Federated Optimization in Heterogeneous Networks
Authors: Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith | Published: 2018-12-14 | Updated: 2020-04-21
連合学習
Reaching Data Confidentiality and Model Accountability on the CalTrain
Authors: Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian Molloy | Published: 2018-12-07
A Hybrid Approach to Privacy-Preserving Federated Learning
Authors: Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou | Published: 2018-12-07 | Updated: 2019-08-14
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
Authors: Milad Nasr, Reza Shokri, Amir Houmansadr | Published: 2018-12-03 | Updated: 2020-06-06
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Authors: Zhibo Wang, Mengkai Song, Zhifei Zhang, Yang Song, Qian Wang, Hairong Qi | Published: 2018-12-03 | Updated: 2018-12-05
Analyzing Federated Learning through an Adversarial Lens
Authors: Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo | Published: 2018-11-29 | Updated: 2019-11-25
Joint Service Pricing and Cooperative Relay Communication for Federated Learning
Authors: Shaohan Feng, Dusit Niyato, Ping Wang, Dong In Kim, Ying-Chang Liang | Published: 2018-11-29
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning
Authors: Muhammad Shayan, Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh | Published: 2018-11-24 | Updated: 2019-12-12
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
Authors: Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu | Published: 2018-06-06
Differentially Private Federated Learning: A Client Level Perspective
Authors: Robin C. Geyer, Tassilo Klein, Moin Nabi | Published: 2017-12-20 | Updated: 2018-03-01